JOURNAL ARTICLE

VEHICLE ROUTING PROBLEM WITH TIME WINDOWS USING HYBRID ENCODING GENETIC ALGORITHM

Dr P.K ChenniappanM. Sarojini Devi

Year: 2014 Journal:   INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY Vol: 12 (10)Pages: 3945-3951   Publisher: Khalsa Publications

Abstract

The vehicle routing problem is to determine K vehicle routes, where a route is a tour that begins at the depot, traverses a subset of the customers in a specified sequence and returns to the depot. Each customer must be assigned to exactly one of the K vehicle routes and total size of deliveries for customers assigned to each vehicle must not exceed the vehicle capacity. The routes should be chosen to minimize total travel cost. Thispapergivesasolutiontofindanoptimumrouteforvehicle routingproblem using Hybrid Encoding GeneticAlgorithm (HEGA)technique tested on c++ programming.The objective is to find routes for the vehicles to service all the customers at a minimal cost and time without violating the capacity, travel time constraints and time window constraints

Keywords:
Vehicle routing problem Encoding (memory) Computer science Genetic algorithm Mathematical optimization Sequence (biology) Service (business) Routing (electronic design automation) Travel time Real-time computing Algorithm Transport engineering Engineering Mathematics Computer network Artificial intelligence Business

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Topics

Vehicle Routing Optimization Methods
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
Transportation and Mobility Innovations
Physical Sciences →  Engineering →  Automotive Engineering
Optimization and Packing Problems
Physical Sciences →  Engineering →  Industrial and Manufacturing Engineering
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